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204
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CVPR
2006
IEEE
16 years 1 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
176
Voted
IPPS
2005
IEEE
16 years 1 months ago
Toward an Evaluation Infrastructure for Power and Energy Optimizations
Execution-driven simulators are often used for power/energy and performance evaluation. Simulators can provide semantic details but they provide insufficient speed and accuracy f...
Chunling Hu, Daniel A. Jiménez, Ulrich Krem...
CVPR
2004
IEEE
15 years 11 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp
173
Voted
MMNS
2003
100views Multimedia» more  MMNS 2003»
15 years 9 months ago
Unicast Probing to Estimate Shared Loss Rate
Abstract. The paper introduces a new receiver-based active end-toend measurement technique, called the Single-Double Unicast Probing (SDUP), to estimate the rate of losses which oc...
Dinh-Dung Luong, Attila Vidács, Józs...
161
Voted
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 7 months ago
Support Recovery of Sparse Signals
We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...
Yuzhe Jin, Young-Han Kim, Bhaskar D. Rao